Zep also offers fast, low-latency APIs and stateless deployments. Its local embedding models and asynchronous enrichment ensure a snappy user experience. The platform also allows for stateless deployment by storing documents and history in Zep, rather than in memory. Users can get started by installing the server and SDK, with guides available for important configuration and usage information.
Key takeaways:
- Zep is a long-term memory store for LLM applications that allows the addition of relevant documents, chat history memory, and rich user data to your app's prompts.
- It features a Vector Database with Hybrid Search, which allows for a powerful hybrid search over texts using rich metadata and JSONPath query filters.
- Zep includes embedding and enrichment features, such as automatic text embedding, enrichment of chat histories with summaries, named entities, token counts, and the ability to associate your own metadata with documents and chat histories.
- It offers fast, low-latency APIs and stateless deployments, ensuring a snappy user experience and enabling stateless deployment by storing documents and history in Zep and not in memory.